| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "He stepped aside [aside]" |
| | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.333 | | effectiveRatio | 0.133 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1256 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 12.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1256 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "echoed" | | 1 | "pulsed" | | 2 | "familiar" | | 3 | "depths" | | 4 | "glinting" | | 5 | "raced" | | 6 | "footsteps" | | 7 | "traced" | | 8 | "flickered" | | 9 | "flicked" | | 10 | "gleaming" | | 11 | "etched" | | 12 | "silk" | | 13 | "trembled" | | 14 | "echoing" | | 15 | "shattered" | | 16 | "silence" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 157 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 157 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 169 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1249 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 74.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1193 | | uniqueNames | 9 | | maxNameDensity | 1.51 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Morris | 4 | | Raven | 1 | | Nest | 1 | | Camden | 1 | | Veil | 1 | | Market | 1 | | Quinn | 18 | | Torchlight | 1 | | Metal | 3 |
| | persons | | 0 | "Morris" | | 1 | "Raven" | | 2 | "Quinn" | | 3 | "Torchlight" | | 4 | "Metal" |
| | places | (empty) | | globalScore | 0.746 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 107 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1249 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 169 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 31.23 | | std | 18.67 | | cv | 0.598 | | sampleLengths | | 0 | 46 | | 1 | 46 | | 2 | 57 | | 3 | 67 | | 4 | 11 | | 5 | 3 | | 6 | 2 | | 7 | 10 | | 8 | 13 | | 9 | 25 | | 10 | 64 | | 11 | 59 | | 12 | 45 | | 13 | 54 | | 14 | 7 | | 15 | 41 | | 16 | 8 | | 17 | 14 | | 18 | 11 | | 19 | 48 | | 20 | 11 | | 21 | 41 | | 22 | 18 | | 23 | 50 | | 24 | 32 | | 25 | 32 | | 26 | 46 | | 27 | 33 | | 28 | 40 | | 29 | 18 | | 30 | 42 | | 31 | 44 | | 32 | 33 | | 33 | 38 | | 34 | 39 | | 35 | 41 | | 36 | 40 | | 37 | 12 | | 38 | 5 | | 39 | 3 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 157 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 246 | | matches | (empty) | |
| 24.51% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 169 | | ratio | 0.041 | | matches | | 0 | "The city pulsed in her ears—horns, distant sirens, the hiss of tyres on wet asphalt." | | 1 | "She crouched, traced a symbol—trade mark of the Veil Market." | | 2 | "Two figures materialised behind him—tall, gaunt." | | 3 | "She weighed her options: force her way past, risk drawing fire; retreat and lose him." | | 4 | "Stalls lined the walls—odd trinkets crusted in dust, gleaming blades etched with runes, jars of crushed petals that glowed faintly." | | 5 | "Voices—barter and murmur—rose from stalls she couldn’t yet see." | | 6 | "From the far end, a dozen figures rose from folding chairs, brandishing weapons—daggers, spiked clubs, slender staves." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1200 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tight over high cheekbones." |
| | adverbCount | 19 | | adverbRatio | 0.015833333333333335 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0025 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 169 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 169 | | mean | 7.39 | | std | 3.83 | | cv | 0.518 | | sampleLengths | | 0 | 11 | | 1 | 9 | | 2 | 16 | | 3 | 4 | | 4 | 6 | | 5 | 9 | | 6 | 16 | | 7 | 4 | | 8 | 5 | | 9 | 10 | | 10 | 2 | | 11 | 16 | | 12 | 11 | | 13 | 10 | | 14 | 5 | | 15 | 15 | | 16 | 15 | | 17 | 9 | | 18 | 13 | | 19 | 4 | | 20 | 11 | | 21 | 15 | | 22 | 9 | | 23 | 2 | | 24 | 3 | | 25 | 2 | | 26 | 10 | | 27 | 8 | | 28 | 5 | | 29 | 9 | | 30 | 9 | | 31 | 7 | | 32 | 8 | | 33 | 10 | | 34 | 10 | | 35 | 14 | | 36 | 9 | | 37 | 8 | | 38 | 5 | | 39 | 10 | | 40 | 11 | | 41 | 5 | | 42 | 9 | | 43 | 10 | | 44 | 12 | | 45 | 2 | | 46 | 4 | | 47 | 7 | | 48 | 8 | | 49 | 7 |
| |
| 58.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3727810650887574 | | totalSentences | 169 | | uniqueOpeners | 63 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 145 | | matches | (empty) | | ratio | 0 | |
| 73.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 145 | | matches | | 0 | "She twisted her ankle, righted" | | 1 | "She didn’t let him get" | | 2 | "He glanced back once, mouth" | | 3 | "She recognised the token’s shape" | | 4 | "She hauled herself up and" | | 5 | "She rounded the bend and" | | 6 | "She radioed control while leaping" | | 7 | "She’d lost partners to waiting" | | 8 | "She spotted an open manhole," | | 9 | "He crouched at the lip," | | 10 | "Her sprint ended in a" | | 11 | "She gripped the ladder rung" | | 12 | "She landed on slick concrete," | | 13 | "She switched on her torch." | | 14 | "She reloaded her pistol, every" | | 15 | "She remembered Morris’s last words" | | 16 | "She’d dismissed it then." | | 17 | "She pressed on." | | 18 | "She crouched, traced a symbol—trade" | | 19 | "She rose and tested the" |
| | ratio | 0.366 | |
| 15.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 129 | | totalSentences | 145 | | matches | | 0 | "Quinn’s boot slipped in a" | | 1 | "She twisted her ankle, righted" | | 2 | "The stranger in the hooded" | | 3 | "Quinn’s brown eyes narrowed." | | 4 | "She didn’t let him get" | | 5 | "He glanced back once, mouth" | | 6 | "A bone token swung from" | | 7 | "Something in her chest tightened." | | 8 | "She recognised the token’s shape" | | 9 | "Quinn dove under a fallen" | | 10 | "Water hissed beneath her palms." | | 11 | "She hauled herself up and" | | 12 | "She rounded the bend and" | | 13 | "Rain lashed the faded maps" | | 14 | "A late customer splashed past" | | 15 | "Quinn’s leather watch slapped her" | | 16 | "The city pulsed in her" | | 17 | "She radioed control while leaping" | | 18 | "A pause, then the familiar" | | 19 | "Quinn scoffed and dropped the" |
| | ratio | 0.89 | |
| 34.48% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 145 | | matches | | | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, voice rough as gravel" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.133 | | leniency | 0.267 | | rawRatio | 0 | | effectiveRatio | 0 | |